{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import altair as alt\n",
    "import shap\n",
    "\n",
    "from interaction_effects.marginal import MarginalExplainer\n",
    "from interaction_effects import utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "n = 3000\n",
    "d = 3\n",
    "batch_size = 50\n",
    "learning_rate = 0.02"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = np.random.randn(n, d)\n",
    "y = (np.sum(X, axis=-1) > 0.0).astype(np.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = tf.keras.Sequential()\n",
    "model.add(tf.keras.Input(shape=(3,), batch_size=batch_size))\n",
    "model.add(tf.keras.layers.Dense(2, activation=None, use_bias=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = tf.keras.optimizers.SGD(learning_rate=learning_rate)\n",
    "model.compile(optimizer=optimizer,\n",
    "              loss=tf.keras.losses.SparseCategoricalCrossentropy(),\n",
    "              metrics=[tf.keras.metrics.SparseCategoricalAccuracy()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 3000 samples\n",
      "Epoch 1/20\n",
      "3000/3000 - 1s - loss: 3.7362 - sparse_categorical_accuracy: 0.6037\n",
      "Epoch 2/20\n",
      "3000/3000 - 0s - loss: 0.4334 - sparse_categorical_accuracy: 0.9277\n",
      "Epoch 3/20\n",
      "3000/3000 - 0s - loss: 0.4227 - sparse_categorical_accuracy: 0.9347\n",
      "Epoch 4/20\n",
      "3000/3000 - 0s - loss: 0.4213 - sparse_categorical_accuracy: 0.9343\n",
      "Epoch 5/20\n",
      "3000/3000 - 0s - loss: 0.4208 - sparse_categorical_accuracy: 0.9340\n",
      "Epoch 6/20\n",
      "3000/3000 - 0s - loss: 0.4205 - sparse_categorical_accuracy: 0.9343\n",
      "Epoch 7/20\n",
      "3000/3000 - 0s - loss: 0.4204 - sparse_categorical_accuracy: 0.9347\n",
      "Epoch 8/20\n",
      "3000/3000 - 0s - loss: 0.4204 - sparse_categorical_accuracy: 0.9343\n",
      "Epoch 9/20\n",
      "3000/3000 - 0s - loss: 0.4204 - sparse_categorical_accuracy: 0.9350\n",
      "Epoch 10/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9347\n",
      "Epoch 11/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9350\n",
      "Epoch 12/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9350\n",
      "Epoch 13/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9350\n",
      "Epoch 14/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9347\n",
      "Epoch 15/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9347\n",
      "Epoch 16/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9353\n",
      "Epoch 17/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9353\n",
      "Epoch 18/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9353\n",
      "Epoch 19/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9353\n",
      "Epoch 20/20\n",
      "3000/3000 - 0s - loss: 0.4203 - sparse_categorical_accuracy: 0.9353\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x7fe2c7073780>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X, y, epochs=20, verbose=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 20/20 [00:02<00:00,  7.58it/s]\n"
     ]
    }
   ],
   "source": [
    "primal_explainer = MarginalExplainer(model, X[20:], nsamples=800, representation='mobius')\n",
    "primal_effects = primal_explainer.explain(X[:20], verbose=True, index_outputs=True, labels=y[:20].astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 20/20 [00:02<00:00,  8.71it/s]\n"
     ]
    }
   ],
   "source": [
    "dual_explainer = MarginalExplainer(model, X[20:], nsamples=800, representation='comobius')\n",
    "dual_effects = dual_explainer.explain(X[:20], verbose=True, index_outputs=True, labels=y[:20].astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 20/20 [00:04<00:00,  4.70it/s]\n"
     ]
    }
   ],
   "source": [
    "average_explainer = MarginalExplainer(model, X[20:], nsamples=800, representation='average')\n",
    "average_effects = average_explainer.explain(X[:20], verbose=True, index_outputs=True, labels=y[:20].astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "31b26e9d86844f6d951d95905612c2a0",
       "version_major": 2,
       "version_minor": 0
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      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=20), HTML(value='')))"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "model_func = lambda x: model(x).numpy()\n",
    "kernel_explainer = shap.SamplingExplainer(model_func, X)\n",
    "kernel_shap = kernel_explainer.shap_values(X[:20])\n",
    "kernel_shap = np.stack(kernel_shap, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "kernel_shap_true_class = kernel_shap[y[:20].astype(int), np.arange(20), :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "def unroll(x):\n",
    "    ret = []\n",
    "    for i in range(x.shape[-1]):\n",
    "        ret.append(x[:, i])\n",
    "    return np.concatenate(ret)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_df = pd.DataFrame({\n",
    "    'Sampled Primal Effects':  unroll(primal_effects),\n",
    "    'Sampled Dual Effects':    unroll(dual_effects),\n",
    "    'Sampled Average Effects': unroll(average_effects),\n",
    "    'Kernel SHAP Values':      unroll(kernel_shap_true_class),\n",
    "    'Feature Values':          unroll(X[:20]),\n",
    "    'Feature':                 [int(i / 20) for i in range(20 * d)],\n",
    "    'Label':                   np.tile(y[:20], 3).astype(int)\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
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       "config": {
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        "view": {
         "height": 300,
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       "datasets": {
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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(data_df).mark_point(filled=True).encode(\n",
    "    alt.X('Kernel SHAP Values:Q'),\n",
    "    alt.Y(alt.repeat(\"column\"), type='quantitative')\n",
    ").properties(width=300, height=300).repeat(column=['Sampled Primal Effects', 'Sampled Dual Effects', 'Sampled Average Effects'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "melted_df = pd.melt(data_df, id_vars=['Feature Values', 'Feature', 'Label'], var_name='Effect Type', value_name='Effect Value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.2.1.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "name": "data-94a93aa7a752edd77d54974a9342b7ba"
       },
       "datasets": {
        "data-94a93aa7a752edd77d54974a9342b7ba": [
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.20022597908973694,
          "Feature": 0,
          "Feature Values": -0.2653815125030955,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.39401553630828856,
          "Feature": 0,
          "Feature Values": 0.3600059955431941,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.060917024612426755,
          "Feature": 0,
          "Feature Values": -0.9276964810299612,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.07367208480834961,
          "Feature": 0,
          "Feature Values": 1.1808180082787716,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.2390426927804947,
          "Feature": 0,
          "Feature Values": -0.30951764343705385,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.09530257225036622,
          "Feature": 0,
          "Feature Values": 1.4425227640985097,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.0357369065284729,
          "Feature": 0,
          "Feature Values": -0.6086536943076729,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.9068661975860596,
          "Feature": 0,
          "Feature Values": 0.9270939080222514,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 1.6825952434539795,
          "Feature": 0,
          "Feature Values": -1.8457065763671263,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.020885772705078125,
          "Feature": 0,
          "Feature Values": 0.01797042255384086,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.14765564680099488,
          "Feature": 0,
          "Feature Values": -0.20898153553538187,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.549511992931366,
          "Feature": 0,
          "Feature Values": 0.5106135772492173,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.48032485127449037,
          "Feature": 0,
          "Feature Values": -0.583100343595106,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.03503549933433533,
          "Feature": 0,
          "Feature Values": -0.10012191907797,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.006886272430419922,
          "Feature": 0,
          "Feature Values": -0.1872710770968796,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 1.4112100839614867,
          "Feature": 0,
          "Feature Values": -1.481345745280796,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.9343726015090943,
          "Feature": 0,
          "Feature Values": -0.9880572795017531,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.042193126678466794,
          "Feature": 0,
          "Feature Values": 0.6103405025391664,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.028484631776809693,
          "Feature": 0,
          "Feature Values": -0.021477680021361984,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -1.5276496505737305,
          "Feature": 0,
          "Feature Values": 1.5214889382060304,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 1.658829517364502,
          "Feature": 1,
          "Feature Values": -1.630817133674897,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 1.0452126312255858,
          "Feature": 1,
          "Feature Values": -1.0384933585192697,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.09345462322235107,
          "Feature": 1,
          "Feature Values": 0.7220147984441424,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.05228222608566284,
          "Feature": 1,
          "Feature Values": -0.3597089149414722,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.16261125087738038,
          "Feature": 1,
          "Feature Values": 0.19016784922225569,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.043569540977478026,
          "Feature": 1,
          "Feature Values": 0.33809968059273937,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": -0.004310231208801269,
          "Feature": 1,
          "Feature Values": -0.02509532106053015,
          "Label": 1
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 2.3864971351623536,
          "Feature": 1,
          "Feature Values": -2.353094056629855,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.880237159729004,
          "Feature": 1,
          "Feature Values": -0.829465579660459,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 2.9006701469421388,
          "Feature": 1,
          "Feature Values": -2.743322591527212,
          "Label": 0
         },
         {
          "Effect Type": "Sampled Primal Effects",
          "Effect Value": 0.6943286108970642,
          "Feature": 1,
          "Feature Values": -0.6243506165817225,
          "Label": 0
         },
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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(melted_df).mark_point(filled=True).encode(\n",
    "    alt.X('Feature Values:Q'),\n",
    "    alt.Y('Effect Value:Q'),\n",
    "    alt.Color('Label:N')\n",
    ").properties(width=200, height=200).facet(column='Effect Type', row='Feature')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
